A Safer Vision-Based Autonomous Planning System for Quadrotor UAVs with Dynamic Obstacle Trajectory Prediction and Its Application with LLMs-Reference-Cited by-同舟云学术

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A Safer Vision-Based Autonomous Planning System for Quadrotor UAVs with Dynamic Obstacle Trajectory Prediction and Its Application with LLMs

Published:2024-01-01 Issue: Volume:33 Page:920-929
ISSN:
Container-title:2024 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW)
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Author:

Zhong Jiageng¹,Li Ming¹,Chen Yinliang¹,Wei Zihang²,Yang Fan³,Shen Haoran¹

Affiliation:

1. Wuhan University

2. WFLS

3. HUST

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10495586/10495587/10495599.pdf?arnumber=10495599

Reference51 articles.

1. Simple online and realtime tracking

2. Improving ultimate convergence of an augmented Lagrangian method

3. Language models are few-shot learners;Brown;Advances in neural information processing systems,2020

4. An Active Sense and Avoid System for Flying Robots in Dynamic Environments

5. Risk-Aware Trajectory Sampling for Quadrotor Obstacle Avoidance in Dynamic Environments

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1. A Review of Dynamic Obstacle Avoidance for Unmanned Aerial Vehicles (UAVs);2024 7th International Symposium on Autonomous Systems (ISAS);2024-05-07

2. Grid-Based Non-Uniform Probabilistic Roadmap-Based AGV Path Planning in Narrow Passages and Complex Environments;Electronics;2024-01-04

3. A Survey on Multimodal Large Language Models for Autonomous Driving;2024 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW);2024-01-01

4. Drone-TOOD: A Lightweight Task-Aligned Object Detection Algorithm for Vehicle Detection in UAV Images;IEEE Access;2024

5. Large Language Models for UAVs: Current State and Pathways to the Future;IEEE Open Journal of Vehicular Technology;2024

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